AIPR conference is intended to foster the dissemination of state-of-the-art research in the area of Artificial Intelligence & Pattern Recognition and the fundamental interaction between them. Authors are invited to submit regular research papers on all related areas. Papers exploring new directions or areas will receive a thorough and encouraging review. Areas of interest include, but not limited to :

Computer Vision and Robot Vision 	

Vision sensors
Biologically motivated vision
Illumination and reflectance modeling
Image based modeling
Physics-based vision
Shape modeling and encoding
Computational photography
3D shape recovery
Motion, tracking and video analysis
3D sensors: depth sensors, ToF, Kinect
2D/3D object detection and recognition
Scene understanding
Occlusion and shadow detection
Stereo and multiple view geometry
Reconstruction and camera motion estimation
Vision for graphics
Vision for robotics
Humanoid vision Representation and analysis in pixel/voxel images

Image, Speech, Signal and Video Processing

Image and video analysis and understanding
Sensor array & multichannel signal processing
Segmentation, features and descriptors
Texture and color analysis
Enhancement, restoration and filtering
Coding, compression and super-resolution
Facial expression recognition
Human body motion and gesture based interaction
Multimedia analysis, indexing and retrieval
Depth & range sensor data processing and analysis

Document Analysis, Biometrics and Pattern Recognition Applications 	

Character and Text Recognition
Handwriting Recognition
Graphics Recognition
Document Understanding
Gesture and Behavior Analysis
Mixed and Augmented Reality
Face, fingerprint and iris recognition
Other biometrics (gait, soft, speaker, periocular, etc.)
Novel biometrics
Biometric systems and applications
Multi-biometrics
Forensic biometrics and applications
Search, Retrieval and Visualization
Industrial image analysis
Pattern and digital evidence
Applications of pattern recognition to big data
  	
Biomedical Image Analysis and Applications

Medical image and signal analysis
Biological image and signal analysis
Computer-aided detection and diagnosis
Image guidance and robot guidance of interventions
Content based image retrieval and data mining
Medical and biological imaging
Segmentation of biomedical images
Molecular and cellular image analysis
Volumetric image analysis
Deformable object tracking and registration
Computational anatomy and digital human
VR/AR in medical education, diagnosis and surgery
Imaging and hardware for health care
Deep learning for biomedical image analysis